CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNASampler(seed) - scored higher in this pairwise comparison

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASampler(seed) & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric RNASampler(seed) RSpredict(20)
MCC 0.715 > 0.638
Average MCC ± 95% Confidence Intervals 0.733 ± 0.169 > 0.659 ± 0.217
Sensitivity 0.658 < 0.690
Positive Predictive Value 0.782 > 0.596
Total TP 104 < 109
Total TN 17736 > 17686
Total FP 49 < 108
Total FP CONTRA 15 < 43
Total FP INCONS 14 < 31
Total FP COMP 20 < 34
Total FN 54 > 49
P-value 0.0

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Performance plots


  1. Comparison of performance of RNASampler(seed) and RSpredict(20). Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for RNASampler(seed) and RSpredict(20)).

  2. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for RNASampler(seed) and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and RSpredict(20). The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for RNASampler(seed) and RSpredict(20)).

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Performance of RNASampler(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for RNASampler(seed)

Total Base Pair Counts
Total TP 104
Total TN 17736
Total FP 49
Total FP CONTRA 15
Total FP INCONS 14
Total FP COMP 20
Total FN 54
Total Scores
MCC 0.715
Average MCC ± 95% Confidence Intervals 0.733 ± 0.169
Sensitivity 0.658
Positive Predictive Value 0.782
Nr of predictions 8

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2. Individual counts for RNASampler(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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Performance of RSpredict(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 109
Total TN 17686
Total FP 108
Total FP CONTRA 43
Total FP INCONS 31
Total FP COMP 34
Total FN 49
Total Scores
MCC 0.638
Average MCC ± 95% Confidence Intervals 0.659 ± 0.217
Sensitivity 0.690
Positive Predictive Value 0.596
Nr of predictions 8

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2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.53 0.50 0.60 9 342 7 0 6 1 9
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.